{"id":"W2589045461","doi":"10.1109/ssci.2016.7849967","title":"Ensemble of extreme learning machines for diagnosing bearing defects in non-stationary environments under class imbalance condition","year":2016,"lang":"en","type":"article","venue":"","topic":"Machine Learning and ELM","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Class (philosophy); Artificial intelligence; Ensemble learning; Extreme learning machine; Machine learning; Bearing (navigation); State (computer science); Artificial neural network; Algorithm","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002579276,0.00009763488,0.0001288395,0.0001017932,0.00008325701,0.00002380179,0.0001891462,0.00004182306,0.00001613992],"category_scores_gemma":[0.00008922956,0.00007489655,0.00004136447,0.0001007922,0.00002502158,0.0003361499,0.00008551619,0.00006590281,0.00001486831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004643164,"about_ca_system_score_gemma":0.0000142328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004798013,"about_ca_topic_score_gemma":0.00001600418,"domain_scores_codex":[0.9991235,0.00006235379,0.000192402,0.000264457,0.0001478808,0.0002094123],"domain_scores_gemma":[0.9991695,0.000515807,0.0001083196,0.0001569032,0.00001368762,0.00003583474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000427153,0.0002877297,0.4599074,0.0001288268,0.00003451005,0.00001005801,0.0009509738,0.04238858,0.2650654,0.03860465,0.0006813254,0.1918979],"study_design_scores_gemma":[0.001803718,0.0001857503,0.6578375,0.000229703,0.000006213496,0.000006150107,0.000043744,0.3145228,0.01340273,0.01029115,0.001374042,0.0002965611],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3922807,0.00002611273,0.6063526,0.0003383128,0.00006203925,0.00009933452,8.558645e-7,0.0000310116,0.0008089648],"genre_scores_gemma":[0.9867609,0.00001389953,0.0117482,0.00009933813,0.00002386917,0.00002803886,0.000005996801,0.000009677487,0.001310052],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5946044,"threshold_uncertainty_score":0.3054193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01563333352825631,"score_gpt":0.2533109098114859,"score_spread":0.2376775762832296,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}